| PAPTⅠ THE FUNDAMENTALS OF MANAGERIAL DECISION MAKING CHAFFER 1 INTRODUCTION TO MANAGEMENT SCIENCE 1.1 Introduction to Managerial Decision Making 1.2 Trends Affecting Decision Making Today 1.3 Key Characteristics of Management Science for Decision Making 1.4 The Use of Models for Making Decisions 1.5 The Use of Software in Decision Making 1.6 Applications of Management Science in Business References CHAFFER 2 AVOIDING BAD DECISIONS: The Methodology of Decision Making 2.1 Introduction 2.2 Decision Making Traps 2.3 Decision Making Tips 2.4 The Rational Methodology for Decision Making 2.5 Identification of the Problem 2.6 Analysis of the System 2.7 Formulation of the Objectives 2.8 Initial System Design 2.9 Detailed System Design 2.10 Solution Implementation and Monitoring References PAPTⅡ MODELS IN MANAGERIAL DECISION MAKING CHAPTER 3 LINEAR PROGRAMMING 3.1 Introduction 3.2 Characteristics of LP Problems 3.3 A Maximization Problem 3.4 A Trial-and-Error Approach in Solving LP Problems 3.5 Graphical Solution of a LP Problem 3.6 A Minimization Problem 3.7 General Formulation and Assumptions of LP Models 3.8 Solving LP Problems Problems References CHAPTER 4 USING SOLVER TO SOLVE LINEAR PROGRAMMING PROBLEMS 4. 1 Introduction 4.2 Introducing the Model in Excel 4.3 Solving the Problem 4.4 Understanding and Analyzing the Solution-SOLVER Reports 4.5 Solving Integer Programming Problems with SOLVER 4.6 Solving Non-Linear Programming Problems with SOLVER 4.7 Conclusions Problems References CHAPTER 5 SENSITIVITY ANALYSIS IN LINEAR PROGRAMMING 5.1 Introduction 5.2 An Example 5.3 Dual Prices in LP 5.4 Reduced Costs in LP 5.5 Changes in the Objective Functions Coefficients 5.6 Changes in the Right Hand Sides （RHS） of the Constraints 5.7 Evaluation of a New Activity 5.8 Conclusions Problems References CHAPTER 6 INTEGER PROGRAMMING 6.1 Introduction 6.2 Formulating IP Problems with Binary Variables 6.3 An Investment Example 6.4 Formulating IP Problems with Fixed Costs and/or Discounts 6.5 Solving IP Problems 6.6 Heuristic Methods to Solve IP Problems 6.7 Conclusions Problems References CHAPTER 7 MULTI-CRITERIA DECISION MAKING 7. I Introduction 7.2 Empirical Methods 7.3 Goal Programming 7.4 The Analytical Hierarchy Process 7.5 Using Expert Choice to Solve Multicriteria Problems Problems References CHAPTER 8 STATISTICAL METHODS IN DECISION MAKING 8.1 Introduction to Forecasting 8.2 Key Concepts about Forecasting 8.3 The Moving Averages Forecasting Method 8.4 Exponential Smoothing Forecasting Method 8.5 Other Forecasting Methods 8.6 Linear Regression 8.7 Multiple Regression 8.8 Discriminant Analysis 8.9 Using SPSS for Statistical Analysis Problems References CHAPTER 9 DECISION ANALYSIS 9.1 Introduction 9.2 Key Concepts about Decision Analysis 9.3 Criteria for Making Decisions under Uncertainty 9.4 The Expected Value of Perfect Information 9.5 Introduction to Decision Trees 9.6 Calculating the Risk Profile a Strategy 9.7 Sensitivity Analysis 9.8 Using Precision Tree to Solve Decision Analysis Problems Problems References CHAPTER 10 SIMULATION 10.1 Introduction 10.2 Key Characteristics of Simulation 10.3 Implementation of Simulation under Conditions of Uncertainty 10.4 Simulation of Queuing Systems 10.5 Simulation of an Inventory System 10.6 Analysis of Simulation Results 10.7 Using Simulation for Risk Management 10.8 Using Simulation for Business Process Reengineering Problems References PAPTⅢ IMPLEMENTING MANAGEMENT SCIENCE IN PRACTICE CHAPTER 11 GETTING TO KNOW YOUR CUSTOMER 11.1 Introduction 11.2 Determining Customer Satisfaction 11.3 Designing New Products 11.4 Sales-Advertising Response Analysis 11.5 Forecasting Sales of New Products 11.6 Identifying Areas of Improvement 11.7 Studying Product Positioning 11.8 Identifying Market Segments 11.9 Identifying Prospect Customers Problems References CHAPTER 12 MARKETING AND SALES MANAGEMENT 12.1 Introduction 12.2 A Product Selection Problem 12.3 Design of Sales Network 12.4 Selection of Communication Media 12.5 Selection of Location 12.6 Design of New Product Marketing Strategy 12.7 Design of Promotion Strategy 12.8 Sales Strategy 12.9 Evaluation of Customer Value for CRM Implementation …… CHAPTER 13 PRODUCTION AND INVENTORY MANAGEMT CHAPTER 14 NETWORKS AND TRANSPORT PROBLEMS CHAPTER 15 LOGISTICS AND SUPPLY CHAIN MANAGEMENT |
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